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Strand 1: Social and ethical significance

1.1 Reliability and integrity
1.2 Security
1.3 Privacy and anonymity
1.4 Intellectual Property
1.5 Authenticity
1.6 Digital divide and equality of access
1.7 Surveillance
1.8 Globalization and cultural diversity
1.9 Policies
1.10 Standards and protocols
1.11 People and machines
1.12 Digital citizenship

Strand 2: Application to specified scenarios

2.1 Business and Employment
2.2 Education and Training
2.3 Environment
2.4 Health
2.5 Home and Leisure
2.6 Politics and government

Strand 3: IT Systems

3.1 - Hardware
3.2 - Software
3.3 - Networks
3.4 - Internet
3.5 - Personal and Public Communications
3.6 - Multimedia and Digital Media
3.7 - Databases
3.8 - Spreadsheets, modelling and simulations
3.9 - Introduction to project management

HL Extension
3.10 - IT systems in organizations
3.11 - Robotics, artificial intelligence and expert systems
3.12 - Case Study 2012
3.13 - 4 elements analysis


Extra Topics and important information.

4.1 Command Terms
4.3 Campus Party
4.2 Mock Questions
4.4 EXAM 1
4.5 CES 2011
4.6 Review Championship

Project
5.1 Paper 1 Database Question (Team 1)


Teachers
6.1 Teaching Resources

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Robotics_artificial_intelligence_and_expert_systems

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  • Robots

    • Input and Output Devices
  • Artificial Intelligence
    • Man or Machine
      • Turing Test
      • CAPTCHA
    • Capabilities and Limitations
    • AI techniques
      • Searching
      • Pattern recognition
      • Heuristics
      • Machine learning
    • Fuzzy Logic
    • Smart Robots
    • Machine Learning, can they become independent
    • Natural language communication and translators
    • Neural networks
      • Similarities to biological systems
    • Pattern recognition
      • OCR (optical character recognition)
      • Image analysis (face recognition)
      • Speech Recognition
      • Speech synthesizers
    • Processing and storage requirements
  • Expert Systems
    • Knowledge base
      • Collection
      • Creation
      • Maintenance
    • Inference engine
      • Inference rule chaining ("if-then")
      • Suitable domains
    • Knowledge engineer
    • Expert System Shells
    • Inference engine domain
    • Common-sense knowledge
    • Algorithms
      • Fault finding
      • Product development
  • Genetic Algorithms

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